Effects of Parent Effectiveness Training Program on Family Communication and Flexibility of Korean Parents

This study examines the effects of an 8‐week Parent Effective Training (PET) program on family communication and flexibility. Forty‐two pairs of Korean parents were randomly assigned to either an experimental group that provided the PET program or a control group that did not offer the program. The two groups were compared on pre‐, post‐, and follow‐up measures of PAC(Parent‐Adolescent Communication), ENRICH(Enriching and Nurturing Relationship Issues, Communication and Happiness), and FACES(Family Adaptability Cohesion Evaluation Scale), while controlling for the effects of socio‐demographic variables. Compared with the control group, the experimental group showed significant improvements in family communication between parents and children and between the husband and the wife but no such improvements in family flexibility. These findings suggest that the PET program is a useful short‐term tool for Korean parents wishing to enhance family communication.     

高校拔尖创新人才培养模式探讨

新时期,高等学校人才培养的根本目的应是培养拔尖创新人才。拔尖创新人才的培养应该突出对学生创新素质的要求,在教学和科研的指导中贯彻因材施教的教育原则,在学生学习、生活和校园文化活动中,激励学生的自主学习和创新意识。高校自身应该完善激励机制,健全各项保障工作,完善学生创新平台体系。     

论汉水流域民歌与《诗经》的文化传承关系

口耳相传的汉水流域民歌以其婉转的曲调、朴实的情思、贴切的比拟为人乐道.汉水流域民歌的题材、情感共鸣和艺术表达手法等方面都能从《诗经》中找到契合点.发掘汉水流域流传民歌的美学内涵,以弘扬陕南民歌特色,促进其更广泛的文化传承.     

再问“艺术是什么?”

本文分析了制约人们继续追问"艺术是什么"的原因,梳理、评析了前人关于"艺术是什么"的解答,从本质研究"多解论"的立场出发,提出了"艺术是对于有意味的图谋的尚美求新的表述"的观点,并对这一新解的包容性、排它性和引导性进行了阐述。     

影子银行涉及的法律关系、表现形式与规制方法

影子银行具有信用中介和缺乏监管两大特征,加强对影子银行的法律规制,需要厘清影子银行体系运行中的交易法律关系和监管法律关系,从交易法律关系的角度廓清影子银行的表现形式和范围,从监管法律关系切入寻找影子银行的规制方法,并以此为基础将影子银行纳入法律监管框架之内,最终实现影子银行体系的健康发展和金融体系的稳定。     

德国监事民事责任制度在实践中的障碍

对于德国股份公司的监事来说,尽管公司法、证券法等实体法为他们设定了很多的义务和责任,期望以此来促使监事尽职履行维护公司和股东利益的职责,但是,理想不等于现实,由于德国按照部门法划分传统实体法的制定和程序法相分离,以致于在程序法中的相关制度和市场因素的影响下,实践中,德国股份公司监事在违反他们的义务而导致公司、股东利益受到损害时,最终实际承担责任被程序法中的制度和其他社会因素大大减轻。由此启示我们:在制定法律规则时应当进行实体法和程序法的统一考量,并对于现实社会中其他影响法律运作效果的因素和机制一并予以考量。     

自催化反应模型的行波解

运用常微定性理论的相平面分析方法讨论了自催化反应中的Ｋａａｓ－Ｐｅｔｅｒｓｅｎ模型,得到了行波存在的各种可能结果     

Tests of independence in incomplete multi-way tables using likelihood functions

Kang (2006) and Kang and Larsen (in press) used the log likelihood function with Lagrangian multipliers for estimation of cell probabilities in two-way incomplete contingency tables. This paper extends results and simulations to three-way and multi-way tables. Numerous studies cross-classify subjects by three or more categorical factors. Constraints on cell probabilities are incorporated through Lagrangian multipliers. Variances of the MLEs are derived from the matrix of second derivatives of the log likelihood with respect to cell probabilities and the Lagrange multiplier. Wald and likelihood ratio tests of independence are derived using the estimates and estimated variances. In simulation results in Kang and Larsen (in press), for data missing at random, maximum likelihood estimation (MLE) produced more efficient estimates of population proportions than either multiple imputation (MI) based on data augmentation or complete case (CC) analysis. Neither MLE nor MI, however, lead to an improvement over CC analysis with respect to power of tests for independence in two-way tables. Results are extended to multidimensional tables with arbitrary patterns of missing data when the variables are recorded on individual subjects. In three-way and higher-way tables, however, there is information relevant for judging independence in partially classified information, as long as two or more variables are jointly observed. Simulations study three-dimensional tables with three patterns of association and two levels of missing information.     

Tree-structured analysis of treatment effects with large observational data

Treatment effect in an observational study of relatively large scale can be described as a mixture of effects among subgroups. In particular, analysis for estimating the treatment effect at the level of an entire sample potentially involves not only differential effects across subgroups of the entire study cohort, but also differential propensities – probabilities of receiving treatment given study subjects’ pretreatment history. Such complex heterogeneity is of great research interest because the analysis of treatment effects can substantially depend on the hidden data structure for effect sizes and propensities. To uncover the unseen data structure, we propose a likelihood-based regression tree method which we call marginal tree (MT). The MT method is aimed at a simultaneous assessment of differential effects and propensity scores so that both become homogeneous within each terminal node of the resultant tree structure. We assess simulation performances of the MT method by comparing it with other existing tree methods and illustrate its use with a simulated data set, where the objective is to assess the effects of dieting behavior on its subsequent emotional distress among adolescent girls.